Triple
T7230082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelton Jackson Lee |
E154878
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | 4 Little Girls |
E154887
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: 4 Little Girls | Statement: [Shelton Jackson Lee, notableWork, 4 Little Girls]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 4 Little Girls Context triple: [Shelton Jackson Lee, notableWork, 4 Little Girls]
-
A.
4 Little Girls
chosen
4 Little Girls is a 1997 documentary film by Spike Lee that examines the 1963 Birmingham church bombing and its impact on the civil rights movement.
-
B.
Oh, Sister
"Oh, Sister" is a song by the American punk rock band Desire.
-
C.
Oh, Sister
"Oh, Sister" is a song co-written by Jacques Levy and Bob Dylan, known for its appearance on Dylan’s 1976 album "Desire."
-
D.
Mama
Mama is a key supporting character in the video game "Death Stranding," a brilliant yet tragic scientist who aids protagonist Sam Porter Bridges with her expertise in chiral technology.
-
E.
Mama
"Mama" is a dark, emotionally intense 1983 song by the English rock band Genesis, known for its haunting atmosphere and Phil Collins's distinctive vocal delivery.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea0d9b6c8190a0b5f0ab8d5cca19 |
completed | March 27, 2026, 8:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc22a39481909a2f38014260f302 |
completed | March 28, 2026, 12:40 p.m. |
Created at: March 27, 2026, 2:54 p.m.